智能系统

中文名: 自学习与自适应智能系统:新兴趋势与应用 原名: Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications 作者: Raymond Chiong资源格式: PDF 版本: 扫描版 出版社: Information Science Reference书号: 1605667986发行时间: 2009年10月15日 地区: 美国 语言: 英文 简介: 简介： 自学习与自适应智能系统:新兴趋势与应用提出了方法论,架构和自学习的途径,这些大量的探索研究包括有趣,创新的应用,进展和在智能计算方面的研究. 目录: Foreword .............................................................................................................................................xii Preface ................................................................................................................................................xiv Acknowledgment ...............................................................................................................................xix Section 1 Adaptive Learning Systems Chapter 1 Dynamically Reconfgurable Hardware for Evolving Bio-Inspired Architectures .................................1 Andres Upegui, Haute Ecole d’Ingénierie et de Gestion du Canton de Vaud, Switzerland Chapter 2 A Lyapunov Theory-Based Neural Network Approach for Face Recognition .....................................23 Li-Minn Ang, University of Nottingham Malaysia Campus, Malaysia King Hann Lim, University of Nottingham Malaysia Campus, Malaysia Kah Phooi Seng, University of Nottingham Malaysia Campus, Malaysia Siew Wen Chin, University of Nottingham Malaysia Campus, Malaysia Chapter 3 A Self-Organizing Neural Network to Approach Novelty Detection ...................................................49 Marcelo Keese Albertini, University of São Paulo, Brazil Rodrigo Fernandes de Mello, University of São Paulo, Brazil Chapter 4 Effcient Training Algorithm for Neuro-Fuzzy Network and its Application to Nonlinear Sensor Characteristic Linearization ......................................................................................................72 Ajoy K. Palit, University of Bremen, Germany Walter Anheier, University of Bremen, Germany Section 2 Adaptive Evolutionary Systems Chapter 5 A Review on Evolutionary Prototype Selection: An Empirical Study of Performance and Effciency .......................................................................................................................................92 Salvador García, University of Granada, Spain José Ramón Cano, University of Jaén, Spain Francisco Herrera, University of Granada, Spain Chapter 6 Evolutionary Approaches and Their Applications to Distributed Systems .........................................114 Thomas Weise, University of Kassel, Germany Raymond Chiong, Swinburne University of Technology (Sarawak Campus), Malaysia Chapter 7 Evolutionary Based Adaptive User Interfaces in Complex Supervisory Tasks ..................................150 Gary G. Yen, Oklahoma State University, USA Chapter 8 Synthesis of Analog Circuits by Genetic Algorithms and their Optimization by Particle Swarm Optimization ...........................................................................................................................173 Esteban Tlelo-Cuautle, Instituto Nacional de Astrofísica Óptica y Electrónica, México Ivick Guerra-Gómez, Instituto Nacional de Astrofísica Óptica y Electrónica, México Carlos Alberto Reyes-García, Instituto Nacional de Astrofísica Óptica y Electrónica, México Miguel Aurelio Duarte-Villaseñor, Instituto Nacional de Astrofísica Óptica y Electrónica, México Chapter 9 Statistical Analysis of Computational Intelligence Algorithms on a Multi- Objective Filter Design Problem ...................................................................................................................................193 Flávio Teixeira, University of Victoria, Canada Alexandre Ricardo Soares Romariz, University of Brasilia, Brazil Section 3 Adaptive Collective Systems Chapter 10 Diffusion and Emergence in Social Networks ....................................................................................231 Akira Namatame, National Defense Academy, Japan Chapter 11 Ant Colony Programming: Application of Ant Colony System to Function Approximation .............248 Mariusz Boryczka, University of Silesia, Poland Chapter 12 A Performance Comparison between Effciency and Pheromone Approaches in Dynamic Manufacturing Scheduling ..................................................................................................................273 Paolo Renna, University of Basilicata, Italy Compilation of References ..............................................................................................................299 About the Contributors ...................................................................................................................328 Index ...................................................................................................................................................334